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Python
Machine Learning, TabPFN
2026
ID: 1CP0651
Predictive Maintenance Using IoT Sensor Data and TabPFN-3 Machine Learning
Keywords:
Predictive
Maintenance,
IoT
Sensor
Data,
TabPFN-3,
Machine
Failure
Detection,
Industrial
IoT,
Streamlit
Project Synopsis & Overview
This project develops an IoT sensor-based predictive maintenance system for industrial machines using TabPFN-3. Machine parameters such as air temperature, process temperature, rotational speed, torque, and tool wear are analyzed to predict healthy or failed conditions. A second classification stage identifies specific failure types. A Streamlit dashboard provides automated predictions, supporting early fault detection, reduced downtime, and timely maintenance decisions.
Complete Technical Specifications
| Project ID | 1CP0651 (DB ID: 651) |
| Project Title | Predictive Maintenance Using IoT Sensor Data and TabPFN-3 Machine Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning, TabPFN |
| IEEE Year | 2026 |
| Package Price | ₹6500 |
| Created Date | Sep 23, 2026 |
Project Price
₹6500
₹8000
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IEEE Journal Paper Synopsis & PPT
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